Abstract
This poster paper introduces a system known as CRISTAL [1] and the experience using it for medical research, primarily in the neuGRID [2] and neuGridforUsers (N4U) projects. These projects aim to provide detailed traceability for research analysis processes in the study of biomarkers for Alzheimer’s disease. They have faced major challenges in managing data volumes and algorithm complexity leading to problems associated with information tracking, analysis reproducibility and scientific data verification. We present a working system that supports provenance data management for medical researchers.
Cite
CITATION STYLE
McClatchey, R., Shamdasani, J., Branson, A., & Munir, K. (2015). Provenance support for medical research. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8628, pp. 291–293). Springer Verlag. https://doi.org/10.1007/978-3-319-16462-5_37
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